On Strong Consistency of Model Selection in Classification.
Joe SuzukiPublished in: IEEE Trans. Inf. Theory (2006)
Keyphrases
- model selection
- cross validation
- bayesian learning
- hyperparameters
- parameter estimation
- statistical learning
- regression model
- sample size
- machine learning
- selection criterion
- bayesian methods
- meta learning
- variable selection
- mixture model
- information criterion
- error estimation
- bayesian information criterion
- feature selection
- support vector
- leave one out cross validation
- model selection criteria
- generalization error
- statistical inference
- multivariate regression
- factor analysis
- text classification
- classification accuracy
- active learning
- feature vectors
- decision trees
- automatic model selection